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   <dc:title>Perturbing the structure in Gaussian Bayesian networks</dc:title>
   <dc:creator>Susi García, María Del Rosario</dc:creator>
   <dc:creator>Navarro, H.</dc:creator>
   <dc:creator>Main Yaque, Paloma</dc:creator>
   <dc:creator>Gómez Villegas, Miguel Ángel</dc:creator>
   <dcterms:abstract>This paper  introduces a n-way sensitivity analysis for Gaussian Bayesian networks
where it studies the joint effect of variations in a set of similar parameters.
The aim is to determine the sensitivity of the model when the parameters that describe
the quantitative part are given by the structure of the graph. Therefore, with
this analysis it studies the effect of uncertainty about the regression coefficients and
the conditional variances of variables with their parents given in the graph.</dcterms:abstract>
   <dcterms:dateAccepted>2023-06-20T16:40:34Z</dcterms:dateAccepted>
   <dcterms:available>2023-06-20T16:40:34Z</dcterms:available>
   <dcterms:created>2023-06-20T16:40:34Z</dcterms:created>
   <dcterms:issued>2009</dcterms:issued>
   <dc:type>technical report</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14352/56705</dc:identifier>
   <dc:identifier>XXXX-XXXX</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Cuadernos de Trabajo de la Escuela Universitaria de Estadística</dc:relation>
   <dc:rights>open access</dc:rights>
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